Senior Data Engineer position at Booz Allen Hamilton in Nellis AFB, NV, onsite, with a salary range of USD 77,600 to 176,000 per year.

Collaborate on delivering advanced technology solutions and carry out data engineering work on mission driven projects.
Design, deploy, and operate pipelines and platforms that transform diverse data into meaningful, actionable insights.
Lead and collaborate with a cross functional team of analysts, data engineers, developers, and data consumers within an agile, fast paced environment.
Apply analytical exploration and data assessment while overseeing the design, construction, and maintenance of scalable platforms for client use.

Experience building and supporting mission or enterprise systems, including data integration, secure compute environments, or operator facing applications in restricted or classified settings.
Experience creating secure analytics ecosystem applications, such as log pipelines, monitoring frameworks, operational dashboards, or intelligence fusion platforms in either greenfield or modernization efforts.
Ability to balance engineering tradeoffs under constrained mission conditions, including limited infrastructure, fragmented networks, evolving requirements, or tight timelines.
Proven ability to quickly learn unfamiliar technologies and support engineering teams through implementation.
Experience communicating architectural decisions and solution impacts to engineers, government clients, and senior nontechnical stakeholders.
Secret clearance.
Bachelor’s degree.

Remote: Remote work may be listed, but occasional in person work at Booz Allen or a customer facility may be required.
Hybrid: Regular in person presence at Booz Allen facilities is anticipated, with possible visits to customer sites based on leadership expectations and role needs.
Onsite: Primary work location is a Booz Allen office or customer facility, with collaboration responsibilities in person as required.

Experience integrating AI or ML capabilities into production workflows or operator tooling, such as LLM enabled assistants, model augmented decision aids, or automation solutions.
Experience designing and implementing data pipelines, ontologies, and application workflows on platforms like Palantir Foundry or Gotham, including air gapped or degraded connectivity environments.
Experience applying DevSecOps practices, including containerization, orchestration, CI/CD, and automated testing within constrained toolchains.
Experience supporting multi cloud, multi enclave, or multiclassification architectures spanning environments such as NIPR, SIPR, JWICS, or coalition networks.
Experience contributing to defense programs or large systems integration efforts involving acquisition, compliance, or organizational complexity.
Experience developing agentic workflows, automation pipelines, or custom tooling to boost engineering throughput or reduce operator workload.
Experience serving in a technical leadership role responsible for system design and delivery.
Top Secret clearance.
Credentials in architecture frameworks such as AWS, Palantir Foundry, Gotham, or Kubernetes.

Data Engineer, Senior

Job Description